Map your data landscape, remove blockers and define a clear path to production.

Data readiness determines how quickly AI moves from idea to production.

Many organizations face challenges with fragmented data — siloed systems, inconsistent formats and unclear ownership that limit visibility and slow progress. Without a clear view of your data landscape, it becomes difficult to build and scale effectively.

With a Data & AI Foundations Workshop from Rackspace Technology, we can help you:

• Identify data gaps: Understand what data you have, where it lives and what’s needed to support your use case

• Surface integration blockers: Reveal silos, inconsistencies and pipeline issues that impact progress

• Evaluate technology options: Gain a vendor-aware perspective on platforms and architectures aligned to your needs

• Align stakeholders: Establish a shared understanding across IT and business leadership on the path forward

• Accelerate decisions: Reduce ambiguity and move confidently toward solution design

Workshop format

This workshop provides a clear data landscape assessment, integration challenge summary, technology direction recommendation, future-state architecture overview, prioritized next steps and an implementation engagement proposal.

Note: Bring a defined AI use case to ensure the session delivers focused, environment-specific guidance aligned to your goals.